Abstract
An essential aspect of Industry 4.0 is autonomous production methods, powered by Industry of Things (IoT) based on a connected mesh of objects, devices and computer machines, which can communicate with each other. Many things can be transported across the factory via autonomous mobile robots, avoiding obstacles and coordinating with other robots. Autonomous robots are fully integrated with the manufacturing system in Industry 4.0 to a greater extent than ever before.
This paper addresses the design and implementation of PSO optimized fuzzy control for mobile robot path tracking. Firstly, fuzzy control is applied to track the desired trajectory. Secondly, this path tracking has been improved with the PSO optimized fuzzy controller. The proposed PSO fuzzy controller was investigated based on several conducted MATLAB simulation scenarios for a mobile robot. The simulation results show better performances with the proposed PSO optimized fuzzy controller when it is compared with the fuzzy controller without optimization.
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Banjanovic-Mehmedovic, L., Baluković, A. (2020). PSO Optimized Fuzzy Controller for Mobile Robot Path Tracking. In: Karabegović, I. (eds) New Technologies, Development and Application III. NT 2020. Lecture Notes in Networks and Systems, vol 128. Springer, Cham. https://doi.org/10.1007/978-3-030-46817-0_47
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DOI: https://doi.org/10.1007/978-3-030-46817-0_47
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